Results 91 to 100 of about 39,182,227 (344)
A Novel Sparse Cellular Labeling System with Tunable Gradients and Long‐Term Stability
The Tri‐M (Multi‐recombinase, Multi‐recognition site, and Multi‐nested) sparse cellular labeling system, built upon competitive recombination, integrates transgenic mice with viral injection to achieve tunable and long‐term stable sparse labeling of specific cell types with region selectivity, from sparse populations to individual cells, facilitating ...
Xiaomei Tang +17 more
wiley +1 more source
Issues in the design of relational model management systems
One component of the literature on model management in decision support systems (DSSs) suggests that the relational framework for data management be extended to the management of decision models.
R. Blanning
semanticscholar +1 more source
The paper is related to the problem of data integration in the Semantic Web and is a continuation of the previously published works, which was dedicated to the creation of mappings from the description logic (DL) into binary relational data model.
Chystiakova, I.S., Reznichenko, V.A.
core
DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction
Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li +3 more
wiley +1 more source
Structural Divergence Between the Moltbook AI‐Agent Network and Human Social Networks
Analysis of the Moltbook AI‐agent network reveals a striking combination of familiar global scaling and distinct internal organization. Attention is highly concentrated, reciprocity is limited, connected triads are suppressed, and communities are strongly modular.
Wenpin Hou, Zhicheng Ji
wiley +1 more source
In the field of machine learning, methods for learning from single-table data have received much more attention than those for learning from multi-table, or relational data, which are generally more computationally complex.
Anderson, Grant
core
Biomimetic Scaffold‐Based 3D Models for Decoding Cancer Biology and Advancing Therapy
A timeline of the research history of 3D biomimetic scaffold materials and platforms. With advances in biomimetic materials and 3D scaffold technologies, their functional scope has expanded from mimicking basic physical and biochemical properties to increasingly replicating complex pathophysiological processes.
Haitao Zhao +10 more
wiley +1 more source
Counterfactuals in Fuzzy Relational Models
Abstract Given rapidly growing requirements for explainability, counterfactual explanations have gained interest in Machine Learning systems. This study investigates this timely problem in fuzzy relational systems described by fuzzy relational equations and develops a detailed solution to the counterfactual problems encountered in this setting.
Al-Hmouz, Rami +2 more
openaire +3 more sources
NHL and RCGA Based Multi-Relational Fuzzy Cognitive Map Modeling for Complex Systems
In order to model multi-dimensions and multi-granularities oriented complex systems, this paper firstly proposes a kind of multi-relational Fuzzy Cognitive Map (FCM) to simulate the multi-relational system and its auto construct algorithm integrating ...
Zhen Peng, Lifeng Wu, Zhenguo Chen
doaj +1 more source
Extension Economists: Valued in Mission, Penalized in Practice
ABSTRACT As the public engagement arm of the land‐grant mission, we argue that Extension faculty in US agricultural economics departments face an identity crossroads as they struggle for institutional support. Specifically, we argue that Extension economists function as boundary‐spanning professionals within academic structures that often devalue ...
Trey Malone +5 more
wiley +1 more source

